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University"],"authorFamilyName":["Vesuviano","Mathias","Rahayu","Reaney"],"authorFullName":["Vesuviano, G.","Mathias, S.A.","Rahayu, R.","Reaney, S.M."],"authorGivenName":["G.","S.A.","R.","S.M."],"authorOrcid":["https://orcid.org/0000-0003-2157-8875","https://orcid.org/0000-0003-3054-9056","https://orcid.org/0000-0003-3063-2044"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains parameter values that maximize revised Kling Gupta Efficiency (KGE’) between modelled and observed daily mean river flows when running one of 24 different hydrological models with one of 21 different climatic input datasets in one of 33 different catchments across the Citarum basin or 5 catchments across the Ciliwung basin, both in Java island, Indonesia. This dataset was created as part of a study on the advantages and disadvantages of using existing hydrological models, primarily developed for temperate and cold climates, in a tropical volcanic region. The hydrological models were based on those created for MARRMoT v1.2 (10.5194/gmd-12-2463-2019), recoded as sequential models in the R programming language.\n\nThis work was supported by the Natural Environment Research Council (Grants NE/S00310X/1 and NE/S002790/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Vesuviano","Mathias","Rahayu","Reaney"],"fullName":["Vesuviano, G.","Mathias, S.A.","Rahayu, R.","Reaney, S.M."],"funder":["Natural Environment Research Council"],"givenName":["G.","S.A.","R.","S.M.","Gianni"],"grant":["NE/S00310X/1","NE/S002790/1"],"identifier":"f6cec7d4-edee-44b8-8f44-86d4f12ac72d","incomingCitationCount":0,"keyword":["Indonesia","Hydrology","Rainfall-runoff model","Model parameters"],"keywordsOther":["Rainfall-runoff model","Model parameters"],"keywordsPlace":["Indonesia"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The parameter set in each row of each file was selected from 100,000 candidate sets – being the one set that maximized KGE’ between modelled and observed river flow.\n\nFirst, 100,000 candidate parameter sets were generated by sampling the parameter values from uniform distributions with upper and lower limits suggested for each model parameter in the documentation of MARRMoT v1.2 (10.5194/gmd-12-2463-2019). Each model was input with one of 21 combinations of seven precipitation datasets of daily time resolution (AgMERRA, CHIRPS v2, CPC, MSWEP v2, PERSIANN-CDR, SA-OBS, Yanto (10.1038/sdata.2017.72)) and three evapotranspiration datasets of daily time resolution (AgMERRA, SA-OBS, Yanto) as climatic input data – for each catchment separately, catchment-average values were produced by identifying the catchment outline from a hydrologically corrected Digital Elevation Model  (HydroSHEDS v1.1 CON 15-arcsecond) and overlaying this into the gridded precipitation and evapotranspiration products. Daily mean runoff (the model outflow) was obtained for each of the 38 catchments for 2,100,000 cases (100,000 parameter sets with 7 precipitation and 3 evapotranspiration datasets). Then, modified Kling-Gupta Efficency (KGE’) between modelled and observed daily mean flow was found, ignoring the first three years of modelled flow as “spin-up”.\n\nFinally, the parameter set resulting in the highest KGE’ was saved for each catchment with each combination of input climatic data (38 catchments × 7 precipitation datasets × 3 evapotranspiration datasets = 798 parameter sets), for each model, resulting in the 24 files of 798 rows each that comprise this dataset. \n","locations":["POLYGON((106.758 -7.191, 106.758 -5.967, 108.005 -5.967, 108.005 -7.191, 106.758 -7.191))"],"metadataDate":"2026-05-12T12:53:04.000Z","orcid":["https://orcid.org/0000-0003-2157-8875","https://orcid.org/0000-0003-3054-9056","https://orcid.org/0000-0003-3063-2044"],"organisation":["UK Centre for Ecology & Hydrology","Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6cec7d4-edee-44b8-8f44-86d4f12ac72d","10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d","doi:10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains parameter values that maximize revised Kling Gupta Efficiency (KGE’) between modelled and observed daily mean river flows when running one of 24 different hydrological models with one of 21 different climatic input datasets in one of 33 different…","state":"published","supplementalDescription":["Knoben W.J.M, Freer J.E., Fowler K.J.A, Peel M.C. and Woods R.A.. 2019. Supplement of Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations. Geoscientific Model Development 12, 2463-2480"],"title":"Parameters for rainfall-runoff modelling in subcatchments of the Citarum basin, Java, Indonesia","topic":["0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Sowerby","Emmett"],"authorFullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"authorGivenName":["S.","A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides photosynthesis data for the plant species Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum. Photosynthesis response curves were measured for Calluna vulgaris and Vaccinium myrtillus only. Photosynthesis was measured at the climate change field site Climoor which is located in Clocaenog forest, North East Wales. Photosynthesis measurements have been carried out in 2001, 2002, 2003, 2005 and 2007; photosynthesis light response curves and Net Carbon Dioxide (CO2) assimilation rate (A), versus calculated substomatal CO2 concentration (Ci), (A/Ci), responses have been measured in 2002 and 2003. In 2005, the effects of drought on photosynthesis of all three species has been measured. In 2007, the effect climate change (warming and drought) has been measured on healthy, fungal affected and herbivory affected Vaccinium myrtillus leaves. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). Photosynthesis measurements were carried out by trained members of CEH Bangor staff. \n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level photosynthesis measurements are important to investigate ecosystem carbon dynamics and changes in the soil carbon under the imposed climatic treatments.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Sowerby","Emmett"],"fullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"givenName":["S.","A.","B.A.","Sabine"],"identifier":"a17b3345-b769-426d-bccd-f3c8bd88dea1","incomingCitationCount":0,"keyword":["North East Wales","Clocaenog","Soil","Calluna vulgaris","Vaccinium myrtillus","Empetrum nigrum","photosynthesis","heather","ling","bilberry","crowberry"],"keywordsOther":["Calluna vulgaris","Vaccinium myrtillus","Empetrum nigrum","photosynthesis","heather","ling","bilberry","crowberry"],"keywordsPlace":["North East Wales","Clocaenog"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Measurements were taken with a CIRAS-2 infrared gas analyser (PP Systems, UK) between 11 am and 3 pm. The plant leaves/branches photosynthesis was measured on were sampled and dried at 65 degrees Celsius to determine the leaf mass and area. Non-flowering and non-fruiting, sun-exposed tips were used for all measurements. The tip was inserted in the cuvette and remained there until photosynthesis and transpiration rates were seen to equilibrate. Light response curves were measured at constant internal carbon dioxide (CO2) concentration by reducing the photosynthetically active light. Net CO2 assimilation rate (A), versus calculated substomatal CO2 concentration (Ci), (A/Ci), curves were measured at constant light conditions and reducing internal CO2 concentration. Photosynthesis data were measured at saturated light conditions,1000 micromole photons per square metre per second and constant near ambient CO2 concentration, 350 to 400 micromoles per mole. Measurements were downloaded to Excel spreadsheets and exported as .csv files for ingestion into the EIDC.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-06-27T20:02:25.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2016-06-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a17b3345-b769-426d-bccd-f3c8bd88dea1","10.5285/a17b3345-b769-426d-bccd-f3c8bd88dea1","doi:10.5285/a17b3345-b769-426d-bccd-f3c8bd88dea1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides photosynthesis data for the plant species Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum. Photosynthesis response curves were measured for Calluna vulgaris and Vaccinium myrtillus only. Photosynthesis was measured at the climate change…","state":"published","title":"Photosynthesis data for Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum at the Climoor field site in Clocaenog Forest (2001-2007)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Reading University"],"authorFamilyName":["Pena","Tibbett"],"authorFullName":["Pena, R.","Tibbett, M."],"authorGivenName":["R.","M."],"authorOrcid":["https://orcid.org/0000-0002-7985-6906","https://orcid.org/0000-0003-0143-2190"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data encompass measurements in soil and litter, including leaf litter decomposition, soil respiration, and root morphology analysis in the absence and presence of tree roots in the UK.  Data were collected in two locations, Alice Holt and Thetford, UK, in October-November 2023, under three different treatments:\n1.\tRoot trenching and root ingrowth prevention: roots were severed from the tree in a 2x2 meter area, and a membrane preventing root ingrowth was inserted into the soil, resulting a free of living space.\n2.\tRoot trenching: roots were severed from the tree in a 2x2 meter area, but new roots were allowed to grow in that space.\n3.\tControl: The soil remained undisturbed, with no intervention.\n","documentType":"GEMINI_DOCUMENT","familyName":["Pena","Tibbett"],"fullName":["Pena, R.","Tibbett, M."],"funder":["Natural Environment Research Council"],"givenName":["R.","M."],"grant":["NE/W005816/1"],"identifier":"a912c7d5-6f74-4ee8-b192-b414694025b4","incomingCitationCount":0,"keyword":["Oak Forest","Pine Forest","Ectomycorrhiza","Soil Carbon","Gadgil effect"],"keywordsOther":["Oak Forest","Pine Forest","Ectomycorrhiza","Soil Carbon","Gadgil effect"],"licence":"Open government licence","lineage":"There are three datasets:\n1.\tSoil Respiration: Measured with an automated soil CO2 flux system (Li-8100A, Li-Cor, Lincoln, Nebraska, USA) using pre-installed opaque soil collars. Data include CO2 flux [µmol m-2s-1].\n2.\tLeaf Litter Decomposition: Measured by subtracting the final weight from the initial weight for six types of leaf litter: beech, oak, and pine collected from both Thetford and Alice Holt forests. The values are presented as a percentage of mass loss.\n3.\tRoot Morphotyping: Evaluates the percentage of ectomycorrhizal, non-mycorrhizal, and dry root tips found in a 100 cm³ soil volume. The values are presented as percentages, with the total number of root tips representing 100%.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:53:00.000Z","orcid":["https://orcid.org/0000-0002-7985-6906","https://orcid.org/0000-0003-0143-2190"],"organisation":["Reading University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a912c7d5-6f74-4ee8-b192-b414694025b4","10.5285/a912c7d5-6f74-4ee8-b192-b414694025b4","doi:10.5285/a912c7d5-6f74-4ee8-b192-b414694025b4"],"resourceType":"Dataset","rightsHolder":["Reading University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data encompass measurements in soil and litter, including leaf litter decomposition, soil respiration, and root morphology analysis in the absence and presence of tree roots in the UK.  Data were collected in two locations, Alice Holt and Thetford, UK, in October-November…","state":"published","title":"Soil respiration, leaf litter decomposition and root morphotyping in the absence and presence of tree roots at two locations in the UK, October-November 2023","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["MacGregor","Ioannou"],"authorFullName":["MacGregor, H.E.A.","Ioannou, C.C."],"authorGivenName":["H.E.A.","C.C."],"authorOrcid":["https://orcid.org/0000-0001-5379-8392","https://orcid.org/0000-0002-9739-889X"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files.\n\nThe research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world\n\nAll procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060).","documentType":"GEMINI_DOCUMENT","familyName":["MacGregor","Ioannou"],"fullName":["MacGregor, H.E.A.","Ioannou, C.C."],"funder":["Natural Environment Research Council"],"givenName":["H.E.A.","C.C."],"grant":["NE/P012639/1 "],"identifier":"08305a43-79b5-432f-ad20-2ddffe0d1077","incomingCitationCount":0,"keyword":["Animal behaviour","Shoaling","Collective behavior","fish","animal behaviour"],"keywordsOther":["Shoaling","Collective behavior","fish","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The fish were filmed in a tank from above with a high resolution video camera at 25 frames per second. File resolution was reduced for video tracking. Cartesian coordinates expressed in units of pixels were generated from automated two-dimensional tracking software and are presented as text (.txt) files.","metadataDate":"2026-06-27T14:04:51.000Z","orcid":["https://orcid.org/0000-0001-5379-8392","https://orcid.org/0000-0002-9739-889X"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08305a43-79b5-432f-ad20-2ddffe0d1077","10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077","doi:10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated…","state":"published","supplementalDescription":["MacGregor, H.E.A., Herbert-Read, J.E. & Ioannou, C.C. Information can explain the dynamics of group order in animal collective behaviour. Nature Communications 11, 2737 (2020). "],"title":"Time series of trajectory data for individual three-spined sticklebacks (Gasterosteus aculeatus) swimming in groups of eight individuals","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ERDAS Imagine (ERDAS_IMG)"],"description":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel.  The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes.\n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"711c8dc1-0f4e-42ad-a703-8b5d19c92247","incomingCitationCount":3,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover aggregate class is produced from the 1km percentage cover aggregate class product. The 1km percentage cover data is used to identify the highest percentage cover across the 10 bands and a script is used to identify with which band the maximum value coincides.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:57:51.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/711c8dc1-0f4e-42ad-a703-8b5d19c92247","10.5285/711c8dc1-0f4e-42ad-a703-8b5d19c92247","doi:10.5285/711c8dc1-0f4e-42ad-a703-8b5d19c92247"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage…","state":"published","title":"Land Cover Map 2015 (1km dominant aggregate class, GB)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Swansea University","Royal Veterinary College","University of Cambridge"],"authorFamilyName":["Furtbaer","Mamuneas","James","Manica","King"],"authorFullName":["Furtbaer, I.","Mamuneas, D.","James, C.","Manica, A.","King, A."],"authorGivenName":["I.","D.","C.","A."],"authorOrcid":["https://orcid.org/0000-0003-1404-6280","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-6870-9767"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/01wka8n18","https://ror.org/013meh722"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of eight datasets on stickleback fish personality data. Data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and sex differences in the proportion of time spent out of cover. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were filmed and timed using a high definition camera. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College.The work was funded by a BBSRC studentship and NERC (grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). ","documentType":"GEMINI_DOCUMENT","familyName":["King","Furtbaer","Mamuneas","James","Manica"],"fullName":["King, A.","Furtbaer, I.","Mamuneas, D.","James, C.","Manica, A."],"funder":["Natural Environment Research Council"],"givenName":["Andrew","I.","D.","C.","A."],"grant":["NE/H016600/2"],"identifier":"9c7fe956-0ae6-46b6-bca2-2be5778e46bd","incomingCitationCount":0,"keyword":["Animal behaviour","three-spined stickleback"],"keywordsOther":["three-spined stickleback"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Tests of exploratory behaviour were undertaken in isolation in test tanks, and a Panasonic HDC-SD60 high-definition video camera, mounted directly above the tanks were used to record fish movements. Times were recorded of time taken for fish to locate reward. Each fish net-caught from their aquarium was assigned a catch number. 1 was allocated to the fish that was caught first, 2 allocated to the fish that was caught second and so on and tests of exploratory behaviour. ","metadataDate":"2026-06-27T10:46:32.000Z","orcid":["https://orcid.org/0000-0003-1404-6280","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-6870-9767"],"organisation":["Swansea University","Royal Veterinary College","University of Cambridge","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1429017041128","CEH:EIDC::1429017041128","10.5285/9c7fe956-0ae6-46b6-bca2-2be5778e46bd","doi:10.5285/9c7fe956-0ae6-46b6-bca2-2be5778e46bd","https://catalogue.ceh.ac.uk/id/9c7fe956-0ae6-46b6-bca2-2be5778e46bd"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/053fq8t95","https://ror.org/01wka8n18","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of eight datasets on stickleback fish personality data. Data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and…","state":"published","supplementalDescription":["King, A. J., Fürtbauer, I., Mamuneas, D., James, C., & Manica, A. (2013). Sex-Differences and Temporal Consistency in Stickleback Fish Boldness. PLoS ONE, 8(12), e81116"],"title":"Behavioural experiments in the laboratory with stickleback fish - Fish personality data","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UKCEH Countryside Survey"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C.","UKCEH Countryside Survey"],"givenName":["Claire"],"identifier":"0cfd454a-d035-416c-80dc-803c65470ea2","incomingCitationCount":0,"keyword":["Land class","uplands","lowlands","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["Land class","uplands","lowlands","Monitoring & Observing Systems","Environmental survey","Parr Section"],"licence":"Open government licence","lineage":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:40:42.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-10-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1348140148813","CEH:EIDC::1348140148813","https://catalogue.ceh.ac.uk/id/0cfd454a-d035-416c-80dc-803c65470ea2","10.5285/0cfd454a-d035-416c-80dc-803c65470ea2","doi:10.5285/0cfd454a-d035-416c-80dc-803c65470ea2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of…","state":"published","title":"Countryside Survey Environmental Zones","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Stephens","Iwanicka","Tang","Crory"],"authorFullName":["Stephens, A.","Iwanicka, A.","Tang, S.","Crory, A."],"authorGivenName":["A.","S."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Tang","Crory"],"fullName":["Stephens, A.","Iwanicka, A.","Tang, S.","Crory, A."],"givenName":["A.","S."],"identifier":"ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac","incomingCitationCount":0,"keyword":["ALPHA sampler","ammonia","Pollution"],"keywordsInstrument":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"This data was produced from samplers collected by UWT and analysed by UK CEH.  Analysis data was processed using the UK CEH AAGA data handling system.","locations":["POLYGON((-6.698 54.822, -6.698 54.836, -6.657 54.836, -6.657 54.822, -6.698 54.822))"],"metadataDate":"2026-06-27T19:13:05.000Z","organisation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac","10.5285/ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac","doi:10.5285/ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","title":"Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland, 2020","topic":["0/Pollution/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Stanley","Antoniou","Ball","Bennett","Blake","Boorman","Brooks","Clarke","Cooper","Cowan","Evans","Farrand","Fry","Hitt","Jenkins","Kral","Lord","Morrison","Nash","Rylett","Scarlett","Swain","Thornton","Trill","Warwick","Winterbourn"],"authorFullName":["Stanley, S.","Antoniou, V.","Ball, L.A.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brooks, M.","Clarke, M.","Cooper, H.M.","Cowan, N.","Evans, J.G.","Farrand, P.","Fry, M.","Hitt, O.E.","Jenkins, A.","Kral, F.","Lord, W.D.","Morrison, R.","Nash, G.V.","Rylett, D.","Scarlett, P.M.","Swain, O.D.","Thornton, J.L.","Trill, E.J.","Warwick, A.C.","Winterbourn, J.B."],"authorGivenName":["S.","V.","L.A.","E.S.","J.R.","D.B.","M.","H.M.","N.","J.G.","P.","O.E.","A.","F.","W.D.","R.","G.V.","D.","P.M.","O.D.","J.L.","E.J.","A.C.","J.B."],"authorOrcid":["https://orcid.org/0000-0002-8303-2969","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-0203-5958","https://orcid.org/0000-0001-7398-9268","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-6436-5266","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0003-4194-1416","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0003-3100-4904","https://orcid.org/0000-0003-2987-488X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0003-1611-2042","https://orcid.org/0000-0002-7426-1153","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1318-5281"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture)  monitoring network from October 2013 to the end of 2017. These data are from 46 sites across the UK recording a range of hydrometeorological and soil variables.\n\nEach site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and radiation data which are used to derive potential evapotranspiration at a daily resolution.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Stanley","Antoniou","Ball","Bennett","Blake","Boorman","Brooks","Clarke","Cooper","Cowan","Evans","Farrand","Fry","Hitt","Jenkins","Kral","Lord","Morrison","Nash","Rylett","Scarlett","Swain","Thornton","Trill","Warwick","Winterbourn"],"fullName":["COSMOS-UK Project Office","Stanley, S.","Antoniou, V.","Ball, L.A.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brooks, M.","Clarke, M.","Cooper, H.M.","Cowan, N.","Evans, J.G.","Farrand, P.","Fry, M.","Hitt, O.E.","Jenkins, A.","Kral, F.","Lord, W.D.","Morrison, R.","Nash, G.V.","Rylett, D.","Scarlett, P.M.","Swain, O.D.","Thornton, J.L.","Trill, E.J.","Warwick, A.C.","Winterbourn, J.B."],"funder":["Natural Environment Research Council"],"givenName":["S.","V.","L.A.","E.S.","J.R.","D.B.","M.","H.M.","N.","J.G.","P.","O.E.","A.","F.","W.D.","R.","G.V.","D.","P.M.","O.D.","J.L.","E.J.","A.C.","J.B."],"grant":["NE/R016429/1"],"identifier":"a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5","incomingCitationCount":1,"keyword":["UK","UK-SCAPE","air temperature","atmospheric pressure","cosmic-ray sensing probe","COSMOS-UK","net radiation","potential evapotranspiration","relative humidity","soil heat flux","soil temperature","wind speed","wind direction","absolute humidity","wind","soil moisture","soil","atmospheric humidity","atmospheric precipitation","evapotranspiration","meteorological parameter"],"keywordsOther":["air temperature","atmospheric pressure","cosmic-ray sensing probe","COSMOS-UK","net radiation","potential evapotranspiration","relative humidity","soil heat flux","soil temperature","wind speed","wind direction","absolute humidity","wind","soil moisture","soil","atmospheric humidity","atmospheric precipitation","evapotranspiration","meteorological parameter"],"keywordsPlace":["UK"],"keywordsProject":["UK-SCAPE"],"licence":"Open government licence","lineage":"Hydrometeorological and soil observations are recorded at sites around the UK using an array of sensors. Every hour, the raw data collected is sent to CEH in Wallingford, where it is subject to quality control. Soil volumetric water content data are derived from 30 minute hydrometeorological data and data from the cosmic-ray sensing probe by Python scripts run every hour. The data are calculated using the method outlined in Evans et al. (2016, https://doi.org/10.1002/hyp.10929). Potential evapotranspiration data are derived by Python scripts at the end of the day from the hydrometeorological data according to the Penman-Monteith method (FAO 56, http://www.fao.org/3/X0490E/x0490e00.htm). \n\nAll data, that is raw, quality controlled and derived, is saved in an Oracle database.\n\nSee supporting documentation for further information.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:05:35.000Z","orcid":["https://orcid.org/0000-0002-8303-2969","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-0203-5958","https://orcid.org/0000-0001-7398-9268","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-6436-5266","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0003-4194-1416","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0003-3100-4904","https://orcid.org/0000-0003-2987-488X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0003-1611-2042","https://orcid.org/0000-0002-7426-1153","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1318-5281"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-09-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5","10.5285/a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5","doi:10.5285/a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture)  monitoring network from October 2013 to the end of 2017. 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The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector and rainwater collector. They were collected to monitor and model cloud/rain water composition and deposition at high elevation as part of ongoing routine measurements.","documentType":"GEMINI_DOCUMENT","familyName":["Crossley","Harvey","Ferguson","Leaver","Fowler","Cape"],"fullName":["Crossley, A.","Harvey, F.J.","Ferguson, S.","Leaver, D.","Fowler, D.","Cape, J.N."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["A.","F.J.","S.","D.","J.N."],"identifier":"2dca8f2f-a21b-4f77-bc8c-326269ab58d1","incomingCitationCount":0,"keyword":["Pollution","Pollutant Concentration","Cloud chemistry","Rain chemistry","Seeder-feeder effect","pollutant deposition","rain","nitrate","ammonium","chloride","sulphate"],"keywordsOther":["Pollutant Concentration","Cloud chemistry","Rain chemistry","Seeder-feeder effect","pollutant deposition","rain","nitrate","ammonium","chloride","sulphate"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"A cloud droplet collector and rainwater collector were used to collect samples which were weighed (g) and measured (ml), before taking a sub-sample of 150 ml for ion analysis. The depth of each sample was calculated as the sample volume divided by the cross-sectional area of the funnel used to collect the samples. Samples were analysed by ion chromatography to obtain the combined cloud and rain concentrations and the rain-only concentrations of eight pollutants, which were then used to calculate the deposition of each pollutant. These depositions were then used to calculate the cloud-only depositions and concentrations of each pollutant. Non-marine sulphate concentrations and depositions were derived from sulphate depositions. All formulae used in the above calculations are detailed extensively in the associated supporting document.\n\nThis dataset was then reviewed and quality checked by S. Ferguson around 20 years after the original data collection to adapt it into a state suitable for reuse. All excel formulae in the original spreadsheet were checked and the units of the variables were derived from the formulae. The data were then cleaned using an R Studio script, separated into three simplified dataframes, and converted to csv. An ion balance was then conducted as a quality control measure with guidance from J Neil Cape. Any occurrences of large ion imbalances, suspected reporting errors or sample bottle overflows were removed from the dataset and all unusual data thought to have been caused by biological contamination or contamination from wind-blown dust have been flagged. Accounting for missing data from lack of sample collection, partially missing data, and removed data, the percentage completeness of each of the datasets is over 70%.","locations":["POLYGON((-3.151 55.707, -3.151 55.72, -3.111 55.72, -3.111 55.707, -3.151 55.707))"],"metadataDate":"2026-06-27T19:30:45.000Z","orcid":["https://orcid.org/0009-0004-4311-1672","https://orcid.org/0000-0002-2999-2627","https://orcid.org/0000-0002-5538-588X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2dca8f2f-a21b-4f77-bc8c-326269ab58d1","10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1","doi:10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector…","state":"published","title":"Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006","topic":["0/Pollution/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["The James Hutton Institute","University of Sheffield","Institute of Urban Environment","The University of Melbourne"],"authorFamilyName":["Giles","Neilson","Daniell","Yang","Zhu","Zheng","Wang","Chen"],"authorFullName":["Giles, M.","Neilson, R.","Daniell, T.","Yang, X.","Zhu, D.","Zheng, F.","Wang, H.","Chen, Q."],"authorGivenName":["M. ","R.","T.","X.","D.","F.","H.","Q."],"authorRor":["https://ror.org/03rzp5127","https://ror.org/05krs5044","https://ror.org/025gq5q04","https://ror.org/01ej9dk98"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains nematode community data for soil samples collected from two different land uses (farmland and forest) in the Peri urban area of Ningbo China. Samples were collected seasonally between April 2017 and January 2018.\n\nNematodes were removed from soil using density centrifugation, DNA extractions were then carried out on these extracted nematodes and directed TRFLP was used to obtain a measure of nematode community structure. Data are relative fluorescence for each TRFLP peak and have been Hellinger transformed.","documentType":"GEMINI_DOCUMENT","familyName":["Giles","Neilson","Daniell","Yang","Zhu","Zheng","Wang","Chen"],"fullName":["Giles, M.","Neilson, R.","Daniell, T.","Yang, X.","Zhu, D.","Zheng, F.","Wang, H.","Chen, Q."],"funder":["Natural Environment Research Council"],"givenName":["M. ","R.","T.","X.","D.","F.","H.","Q.","Tim"],"identifier":"8ae9c761-3cf9-4709-8632-c4051a244825","incomingCitationCount":0,"keyword":["Ningbo","Animal behaviour","Soil","soil","nematode","forest"],"keywordsOther":["soil","nematode","forest"],"keywordsPlace":["Ningbo"],"keywordsTheme":["Animal behaviour","Soil"],"licence":"Open government licence","lineage":"Soil samples were collected across a watershed in the Peri urban area of Ningbo China between April 9-12, 2017; July 15-18, 2017; October 14-17, 2017; January 11-14 2018. In each watershed samples were collected from 2 different land uses (farmland and forest). At each site 250 g of soil was collected be randomly taking 5 soil cores across the site. All soil was stored at 4 °C prior to shipping to the UK. Shipping was carried out in compliance with the Scottish governments import licence and samples were stored in quarantine facilities at 8 °C as per The James Hutton Institute's biosecurity policy.\n\nFor further details please see the supporting documentation","locations":["POLYGON((121.25 29.75, 121.25 29.85, 121.34 29.85, 121.34 29.75, 121.25 29.75))"],"metadataDate":"2026-06-27T19:31:09.000Z","organisation":["The James Hutton Institute","University of Sheffield","Institute of Urban Environment","The University of Melbourne","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-08-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ae9c761-3cf9-4709-8632-c4051a244825","10.5285/8ae9c761-3cf9-4709-8632-c4051a244825","doi:10.5285/8ae9c761-3cf9-4709-8632-c4051a244825"],"resourceType":"Dataset","ror":["https://ror.org/03rzp5127","https://ror.org/05krs5044","https://ror.org/025gq5q04","https://ror.org/01ej9dk98","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains nematode community data for soil samples collected from two different land uses (farmland and forest) in the Peri urban area of Ningbo China. Samples were collected seasonally between April 2017 and January 2018.\n\nNematodes were removed from soil…","state":"published","title":"Soil nematode communities from peri-urban watersheds, China","topic":["0/Animal behaviour/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","World Museum (Entomology Department)"],"authorFamilyName":["Keith","Monson","Chaplow","Black","Self","Rollett","Wood"],"authorFullName":["Keith, A.M.","Monson, F.D.","Chaplow, J.S.","Black, H.I.J.","Self, P.","Rollett, A.","Wood, C.M."],"authorGivenName":["A.M.","F.D.","J.S.","H.I.J.","P.","A.","C.M."],"authorOrcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of oribatid mite species records (a component of the soil mesofauna), extracted from soils sampled across Great Britain in 1998, as part of the Countryside Survey monitoring programme. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Monson","Chaplow","Black","Self","Rollett","Wood"],"fullName":["Keith, A.M.","Monson, F.D.","Chaplow, J.S.","Black, H.I.J.","Self, P.","Rollett, A.","Wood, C.M."],"givenName":["A.M.","F.D.","J.S.","H.I.J.","P.","A.","C.M."],"identifier":"05cae9ae-86c4-4a2f-a628-6c7fd0882459","incomingCitationCount":0,"keyword":["Great Britain","Countryside Survey","Soil","Biodiversity","soil mesofauna","oribatid mites","Acari"],"keywordsOther":["soil mesofauna","oribatid mites","Acari"],"keywordsPlace":["Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Open government licence","lineage":"Soil samples were collected in the summers of 1998 and 1999 by trained field surveyors. Data were recorded from up to 256 1km squares sited across Britain, selected by random stratified sample. Samples were analysed according to standardized protocols at the Institute of Terrestrial Ecology, Merlewood in 1998-2000, with subsequent additional work undertaken by F. Monson and A. Keith.  Data are managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:56:42.000Z","orcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","World Museum (Entomology Department)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/05cae9ae-86c4-4a2f-a628-6c7fd0882459","10.5285/05cae9ae-86c4-4a2f-a628-6c7fd0882459","doi:10.5285/05cae9ae-86c4-4a2f-a628-6c7fd0882459"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of oribatid mite species records (a component of the soil mesofauna), extracted from soils sampled across Great Britain in 1998, as part of the Countryside Survey monitoring programme. The Countryside Survey is a unique study or 'audit' of the…","state":"published","supplementalDescription":["Black, H. I. J.; Garnett, J. S.; Ainsworth, G.; Coward, P. A.; Creamer, R.; Ellwood, S.; Horne, J.; Hornung, M.; Kennedy, V. H.; Monson, F.; Raine, L.; Osborn, D.; Parekh, N. R.; Parrington, J.; Poskitt, J.; Potter, E.; Reeves, N.; Rowland, A. P.; Self, P.; Turner, S.; Watkins, J.; Woods, C.; Wright, J.. 2002 MASQ: Monitoring And Assessing Soil Quality in Great Britain. Survey Module 6: Soils and Pollution. Bristol, Environment Agency, 200pp. (CEH Project Number: C01229, R&D Technical Report E1-063/TR)","Countryside Survey website"],"supplementalName":["MASQ: Monitoring And Assessing Soil Quality in Great Britain. Survey Module 6: Soils and Pollution.","Countryside Survey website"],"title":"Oribatid mites 1998 [Countryside Survey] ","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Bristol","University of Cambridge"],"authorFamilyName":["Jackson","Coomes"],"authorFullName":["Jackson, T.","Coomes, D."],"authorGivenName":["Toby","David"],"authorRor":["https://ror.org/0524sp257","https://ror.org/013meh722"],"availability":"Unknown","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains raster layers at 1-m resolution representing the canopy height model (CHM) and digital terrain model (DTM) of the Sabah Biodiversity Experiment (SBE), Sabah, Malaysia. CHM and DTM were created from airborne LiDAR point cloud data collected at SBE in 2020. The data were collected to assess the effectiveness of different restoration interventions for speeding up the recovery of logged tropical forests in SE Asia.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Coomes"],"fullName":["Toby Jackson","Jackson, T.","Coomes, D."],"funder":["Natural Environment Research Council"],"givenName":["Toby","David"],"grant":["NE/S01537X/1"],"identifier":"c9e70f3f-0c81-4388-8146-019f7b7b6d36","incomingCitationCount":0,"keyword":["Biodiversity","Climate and climate change","forest ecology","biodiversity","remote sensing"],"keywordsOther":["forest ecology","biodiversity","remote sensing"],"keywordsTheme":["Biodiversity","Climate and climate change"],"licence":"Open government licence","lineage":"CHM and DTM (1-m resolution rasters) were created from the LiDAR point cloud data using the processing pipeline described by Fischer et al. (2024, https://doi.org/10.1111/2041-210X.14416). This processing pipeline first uses the lasground_new algorithm implemented in LasTools to classify ground returns and create the DTM, after which a spike-free algorithm is used to generate the CHM. The pipeline was comprehensively tested against alternative processing routines using a benchmark LiDAR dataset acquired in Australia.","locations":["POLYGON((117.549 4.991, 117.549 5.153, 117.767 5.153, 117.767 4.991, 117.549 4.991))"],"metadataDate":"2026-06-27T19:05:15.000Z","organisation":["University of Bristol","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9e70f3f-0c81-4388-8146-019f7b7b6d36","10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36","doi:10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains raster layers at 1-m resolution representing the canopy height model (CHM) and digital terrain model (DTM) of the Sabah Biodiversity Experiment (SBE), Sabah, Malaysia. CHM and DTM were created from airborne LiDAR point cloud data collected at SBE…","state":"published","supplementalDescription":["Fischer, F. J., Jackson, T., Vincent, G., & Jucker, T. (2024). Robust characterisation of forest structure from airborne laser scanning-A systematic assessment and sample workflow for ecologists. Methods in Ecology and Evolution, 15, 1873-1888."],"title":"LiDAR-derived canopy height model and digital terrain model of Sabah Biodiversity Experiment, Malaysia, 2020","topic":["0/Biodiversity/","0/Climate and climate change/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Foresterie et environnement, ESSA-Université d'Antananarivo","Laboratoire des Radio Isotopes Université d'Antananarivo"],"authorFamilyName":["Ramananantoandro","Razafimahatratra","Razafinarivo","Rinaelintsoa","Razakamanarivo"],"authorFullName":["Ramananantoandro, T.","Razafimahatratra, A.R.","Razafinarivo, R.","Rinaelintsoa, M.","Razakamanarivo, H."],"authorGivenName":["T.","A. R.","R.","M.","H."],"authorOrcid":["https://orcid.org/0000-0003-3126-8192"],"authorRor":["https://ror.org/02w4gwv87"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo.\n\nData were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project","documentType":"GEMINI_DOCUMENT","familyName":["Ramananantoandro","Razafimahatratra","Razafinarivo","Rinaelintsoa","Razakamanarivo"],"fullName":["Ramananantoandro, T.","Razafimahatratra, A.R.","Razafinarivo, R.","Rinaelintsoa, M.","Razakamanarivo, H."],"givenName":["T.","A. R.","R.","M.","H."],"identifier":"5e9fe20b-8d00-4bd3-99cb-7989fa781348","incomingCitationCount":0,"keyword":["Ankeniheny Zahamena forest corridor ","Corridor Ankeniheny Zahamena (CAZ)","Madagascar","Ecosystem Services for Poverty Alleviation (ESPA)","wood","core","wood specific gravity","tree","Eastern humid region"],"keywordsOther":["wood","core","wood specific gravity","tree","Eastern humid region"],"keywordsPlace":["Ankeniheny Zahamena forest corridor ","Corridor Ankeniheny Zahamena (CAZ)","Madagascar"],"keywordsProject":["Ecosystem Services for Poverty Alleviation (ESPA)"],"licence":"Open government licence","lineage":"Full materials and methods available from Supporting Information (Manual_4_Wood_Specific_Gravity).\n\nIn the field.\nFollowing discussion with local botanist (to find trees that grow locally and to check that local tree names matched scientific tree names) healthy trees, i.e. trees that were neither hollow nor suffering from decay inside the trunk were selected.\n15 mm-diameter wood cores were collected using an electric drill powered by a generator (to avoid harvesting trees). Samples were taken at 1.3 m above ground.\n\nIn the lab.\nTo determine the wood specific gravity (WSG) and density at 12% moisture content in the wood cores, a one-centimetre long segment (without bark) from each core was cut. Segments were stabilised in a climatic chamber at 20°C and 65% relative humidity for 7 days to obtain 12% moisture content (MC). Samples were considered stable at 12% moisture content when the weights were constant for 3 consecutive days.","locations":["POLYGON((43.191 -25.608, 43.191 -11.945, 50.483 -11.945, 50.483 -25.608, 43.191 -25.608))"],"metadataDate":"2026-05-11T18:21:54.000Z","orcid":["https://orcid.org/0000-0003-3126-8192"],"organisation":["Foresterie et environnement, ESSA-Université d'Antananarivo","Laboratoire des Radio Isotopes Université d'Antananarivo","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5e9fe20b-8d00-4bd3-99cb-7989fa781348","10.5285/5e9fe20b-8d00-4bd3-99cb-7989fa781348","doi:10.5285/5e9fe20b-8d00-4bd3-99cb-7989fa781348"],"resourceType":"Dataset","ror":["https://ror.org/02w4gwv87","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection,…","state":"published","title":"Wood specific gravity for trees in Ankeniheny Zahamena forest corridor, Madagascar","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["McNamara","Gregg","Oakley","Stott"],"authorFullName":["McNamara, N.P.","Gregg, R.","Oakley, S.","Stott, A."],"authorGivenName":["N.P.","R.","S.","A."],"authorOrcid":["https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-5757-7420"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise soil methane oxidation results from a group of 30 forested islands in northern Sweden sampled in 2006 and 2007. The islands have different fire histories and represent a retrogressive chronosequence spanning 5000 years.","documentType":"GEMINI_DOCUMENT","familyName":["McNamara","Gregg","Oakley","Stott"],"fullName":["McNamara, N.P.","Gregg, R.","Oakley, S.","Stott, A."],"givenName":["N.P.","R.","S.","A."],"identifier":"66cc8fd4-e722-44c4-9363-5930b8373b2c","incomingCitationCount":1,"keyword":["Sweden","Uddjaure","Soil","boreal","chronosequence","flux","process","climate","methane","island","vegetation","soil","biogeochemistry"],"keywordsOther":["boreal","chronosequence","flux","process","climate","methane","island","vegetation","soil","biogeochemistry"],"keywordsPlace":["Sweden","Uddjaure"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"In situ gas fluxes were measured over one week using a static chamber method during August 2006. Samples were stored in exetainer vials (Labco, UK) for up to one month prior to analyses. Concentrations of CH4 were analysed by gas chromatography, on a PerkinElmer Autosystem XL Gas Chromatograph (GC) with Flame Ionization Detector, and results were calibrated using certified gas standards. CH4 was separated isothermally on a 2 m Poropak Q 50x80 mesh packed column at 40 deg C, with N2 as the carrier gas. CH4 fluxes from ex situ cores were measured from the top 25 cm of soil (or to the bedrock where soil depth was less than 25 cm) in 2006 and then through the entire humus profile to the bedrock (20-85 cm depth) in 2007. In 2006, intact cores (11 cm diameter, 25 cm depth) were removed from each island (40 per island size classification) and were weighed on the day of collection. Cores were stored at 12 deg C in the dark until measurement and were maintained at their field collected moisture content using an artificial rain solution. In 2007, one full profile core (0.15 m diameter) was collected from each island humus profile to the bedrock in July 2007. A similar static chamber approach (volume = 0.0021 m3, diameter = 0.15 m) for measuring soil CH4 fluxes, applied under the same measurement conditions as previously described. In situ gas samples were collected from within the soil atmosphere in the humus profiles of each island over 4 days in July 2007. Four stainless steel sampling probes (19 gauge, 0.69 mm inner diameter) were inserted into the soil profiles 30 minutes before soil atmosphere samples were collected at 15, 35, 55 and 75 cm depth (dead-space volume = 0.06, 0.13, 0.21, 0.28 ml, respectively). From each probe a 100 ml sample was collected with 90 ml being transferred to a 50 ml Wheaton bottle with butyl rubber stopper and crimp top seals and 9 ml to a 3.6 ml exetainer vial. After collection each butyl rubber stopper and crimp top was sealed with wax. Analyses of the 13C values of CH4 were completed within one month at the Centre for Ecology & Hydrology, Lancaster. Full details are in supporting information associated with this record.","locations":["POLYGON((15 65, 15 67, 20 67, 20 65, 15 65))"],"metadataDate":"2026-06-27T19:33:18.000Z","orcid":["https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-5757-7420"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/66cc8fd4-e722-44c4-9363-5930b8373b2c","10.5285/66cc8fd4-e722-44c4-9363-5930b8373b2c","doi:10.5285/66cc8fd4-e722-44c4-9363-5930b8373b2c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise soil methane oxidation results from a group of 30 forested islands in northern Sweden sampled in 2006 and 2007. The islands have different fire histories and represent a retrogressive chronosequence spanning 5000 years.","state":"published","title":"Soil methane data from a wildfire chronosequence in northern Sweden ","topic":["0/Soil/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Wang","Tomlinson","Carnell","Scheffler","Liska","Beck","Vieno"],"authorFullName":["Wang, Y.","Tomlinson, S.J.","Carnell, E.J.","Scheffler, J.","Liska, T.","Beck, R.","Vieno, M."],"authorGivenName":["Y.","S.J.","E.J. ","J.","T.","R.","M."],"authorOrcid":["https://orcid.org/0000-0002-0411-4860","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0009-0005-9645-8001","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the UK on a 3x3 km2 resolution grid for years between 1960 and 2020.\n\nThe EMEP4UK model version used here is rv5.0, and the WRF model version is the 4.4.2. \n\nThis work was supported by the Natural Environment Research Council award number NERC (NE/R016429/1) as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Wang","Tomlinson","Carnell","Scheffler","Liska","Beck","Vieno"],"fullName":["Wang, Y.","Tomlinson, S.J.","Carnell, E.J.","Scheffler, J.","Liska, T.","Beck, R.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["Y.","S.J.","E.J. ","J.","T.","R.","M."],"grant":["NE/R016429/1"],"identifier":"40e30580-9191-45d8-8e99-21de3c048250","incomingCitationCount":0,"keyword":["Climate and climate change","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","gas","aerosols","composition","flux","deposition","UK-SCAPE"],"keywordsOther":["EMEP","EMEP4UK","European Monitoring and Evaluation Programme","gas","aerosols","composition","flux","deposition","UK-SCAPE"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:36:09.000Z","orcid":["https://orcid.org/0000-0002-0411-4860","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0009-0005-9645-8001","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-12-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40e30580-9191-45d8-8e99-21de3c048250","10.5285/40e30580-9191-45d8-8e99-21de3c048250","doi:10.5285/40e30580-9191-45d8-8e99-21de3c048250"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the UK on a 3x3…","state":"published","supplementalDescription":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. doi:10.5065/1dfh-6p97","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6."," EMEP/CEIP 2023 Present state of emission data; https://www.ceip.at/webdab-emission-database/reported-emissiondata"," © Crown 2024 copyright Defra & DESNZ via naei.energysecurity.gov.uk licenced under the Open Government Licence (OGL).http://naei.defra.gov.uk","Nielsen, O. K., Plejdrup, M. S., Bruun, H. G., Gyldenkærne, S., & Christensen, J. H. (2020). MapEIre: National Mapping of Greenhouse Gas and Non-greenhouse Gas Emissions Sources Project. https://www.epa.ie/publications/research/air/Research_Report_317.pdf","Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre.","Tomlinson, S.J., Carnell, E.J., Levy, P., Williams, M., Vieno, M., Scheffler, J., Harrison, P.A., Lofts, S. (2023). Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1km resolution, 1750-2100. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/4b392dc0-0219-4494-8420-82e42b93b445"],"supplementalName":["The below datasets are used to drive the EMEP4UK model:","The Weather and Research forecast (WRF) Model: ","The National Centers for Environmental Prediction Final Reanalysis dataset:","The emissions used in the EMEP4UK model are derived from: ","Centre for Emission Inventories and Projections ","The UK National Atmospheric Emissions Inventory","The Republic of Ireland national emissions inventory ","Observational data used in the EMEP4UK model are derived from:","Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999","Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1km resolution, 1750-2100."],"title":"European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition and flux output data, UK, 1960-2020","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid","TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"289805c2-4be7-4fb5-b6ec-1539ed88c43d","incomingCitationCount":2,"keyword":["Great Britain","England","Scotland","Wales","Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of OS tiles NW and HZ. See online supporting documentation for further details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:48:28.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399373975762","CEH:EIDC::1399373975762","https://catalogue.ceh.ac.uk/id/289805c2-4be7-4fb5-b6ec-1539ed88c43d","10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d","doi:10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations…","state":"published","supplementalDescription":["R.D. Morton, C. Rowland, C. Wood, L. Meek, C. Marston, G. Smith, R. Wadsworth, I. Simpson. July 2011 CS Technical Report No 11/07: Final Report for LCM2007 - the new UK land cover map. NERC/Centre for Ecology & Hydrology (CEH Project Number NEC03259)."],"title":"Land Cover Map 2007 (1km percentage aggregate class, GB) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Bangor University","Rothamsted Research"],"authorFamilyName":["Marsden","Holmberg","Jones","Charteris","Cardenas","Chadwick"],"authorFullName":["Marsden, K.A.","Holmberg, J.A.","Jones, D.L.","Charteris, A.F.","Cardenas, L.M.","Chadwick, D.R."],"authorGivenName":["K.A.","J.A.","D.L.","A.F.","L.M.","D.R. "],"authorOrcid":["https://orcid.org/0000-0002-0605-3918","https://orcid.org/0000-0002-1482-4209","https://orcid.org/0000-0003-2748-4677","https://orcid.org/0000-0002-4401-9163","https://orcid.org/0000-0002-8479-8157"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains greenhouse gas fluxes (N2O, CO2 and CH4) following artificial and real sheep urine applied to organic soils within the Carneddau mountain range (556 m a.s.l.) in Snowdonia National Park, North Wales, UK. The study was conducted across two contrasting seasons (summer and autumn). Soil greenhouse gas emission data was collected using a combination of automated chambers and manually sampled chambers, with gas samples analysed via gas chromatography. Supporting data include characterisation of the soil properties at each site, meteorological data, soil moisture and soil chemistry on a time-series following treatment application. The data were used to calculate sheep urine patch N2O-N emission factors, to improve estimates of greenhouse gas emissions from sheep urine deposited to extensively grazed montane agroecosystems.","documentType":"GEMINI_DOCUMENT","familyName":["Marsden","Holmberg","Jones","Charteris","Cardenas","Chadwick"],"fullName":["Marsden, K.A.","Holmberg, J.A.","Jones, D.L.","Charteris, A.F.","Cardenas, L.M.","Chadwick, D.R.","Marsden, K."],"funder":["Natural Environment Research Council"],"givenName":["K.A.","J.A.","D.L.","A.F.","L.M.","D.R. ","Karina"],"grant":["NE/M015351/1"],"identifier":"01811fce-1e0f-43be-8649-336b5c51d6cf","incomingCitationCount":0,"keyword":["Carneddau mountains","Snowdonia National Park","Soil","CH4","CO2","N2O","Nitrous oxide","carbon dioxide","methane"],"keywordsOther":["CH4","CO2","N2O","Nitrous oxide","carbon dioxide","methane"],"keywordsPlace":["Carneddau mountains","Snowdonia National Park"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Treatments were applied in a randomised block design within two contrasting seasons (summer and autumn), of 2017. In the summer experiment, treatments (n = 4) consisted of: i) control (no urine application), ii) artificial sheep urine (920 kg N ha-1), and iii) real sheep urine (930 kg N ha-1). In the autumn study, treatments (n = 4) consisted of: i) control (no amendment), ii) artificial sheep urine (1120 kg N ha-1), and iii) nitrate and glucose (106 kg N ha-1; 213 kg C ha-1). The latter treatment was applied to determine the capacity for denitrification related N2O emissions without substrate limitation. The real sheep urine was collected from sheep grazing vegetation at the site and was re-applied to the soil in discrete patches. \n\nGreenhouse gas fluxes were monitored using a mobile automated greenhouse gas monitoring system (Queensland University of Technology, Institute for Future Environments, Brisbane, Australia) which samples from static chambers, analysing the samples for N2O and CH4 on a gas chromatograph (SRI 8610C, Torrance, USA) and CO2 fluxes on a LI-COR LI-820 (Licor, St Joseph, MI, USA). The system measures eight greenhouse gas flux measurements per chamber per day and is calibrated with certified reference gases to ensure accuracy. Subsequently, monthly manual greenhouse gas samples were taken from static chambers in the same plots, with samples analysed on a Perkin Elmer 580 gas chromatograph (Perkin Elmer Inc., Beverly, CT, USA), also calibrated with certified reference gases to ensure accuracy. The nature and units of the reported fluxes can be found in the supporting documentation associated with the fluxes. The N2O-N emission factors (% of N applied) were calculated from the N2O fluxes by calculating the cumulative emissions (area under the curve by trapezoidal integration) and expressing the proportion of applied urine-N emitted as N2O-N.\n\nIn addition to the greenhouse gas fluxes the temporal dynamics of soil solution mineral N dynamics (NH4+ and NO3-) and total dissolved N and dissolved organic C are provided, which were collected via Rhizon® soil solution samplers installed inside the chambers. Routine soil sampling from duplicate plots were also conducted, where the soil moisture (expressed as % soil water-filled pore space), soil pH and electrical conductivity following the treatment applications are reported. The soil temperature, air temperature and rainfall data covering the study periods are included, alongside characterisation of the soils within each experimental area. Full details of the methods and quality control procedures are provided in the supporting documentation associated with each deposited data file.","locations":["POLYGON((-4.07 52.872, -4.07 53.281, -3.686 53.281, -3.686 52.872, -4.07 52.872))"],"metadataDate":"2026-06-27T18:44:42.000Z","orcid":["https://orcid.org/0000-0002-0605-3918","https://orcid.org/0000-0002-1482-4209","https://orcid.org/0000-0003-2748-4677","https://orcid.org/0000-0002-4401-9163","https://orcid.org/0000-0002-8479-8157"],"organisation":["Bangor University","Rothamsted Research","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-03-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/01811fce-1e0f-43be-8649-336b5c51d6cf","10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf","doi:10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains greenhouse gas fluxes (N2O, CO2 and CH4) following artificial and real sheep urine applied to organic soils within the Carneddau mountain range (556 m a.s.l.) in Snowdonia National Park, North Wales, UK. The study was conducted across two contrasting…","state":"published","title":"Sheep urine patch greenhouse gas emissions from organic soils in an extensively grazed montane agroecosystem, North Wales, UK","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Glanville","De Sosa","Marshall","Cooper","Jones"],"authorFullName":["Glanville, H.C.","De Sosa, L.L.","Marshall, M.R.","Cooper, D.M.","Jones, D.L."],"authorGivenName":["H.C.","L.L. ","M.R.","D.M.","D.L."],"authorOrcid":["https://orcid.org/0000-0002-8192-6678","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0001-7578-7918"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a low glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Soil cores were collected from a field experiment in the Conwy catchment in July 2016 and returned the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. A high molecular weight substrate was added as a carbon source to the samples and the rate of 14C-substrate mineralization measured.\n\nAll the work was carried out by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\nThe measurements were taken to improve understanding of the relationship between microbial activity and soil properties and depth of sampling, under differing nutrient availability.\n\nThe data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Glanville","De Sosa","Marshall","Cooper","Jones"],"fullName":["Glanville, H.","Glanville, H.C.","De Sosa, L.L.","Marshall, M.R.","Cooper, D.M.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Helen","H.C.","L.L. ","M.R.","D.M.","D.L."],"grant":["NE/J011991/1"],"identifier":"c29d2ce1-0295-439b-adf1-98ed59f73fae","incomingCitationCount":0,"keyword":["liquid scintillation counter ","North Wales","Conwy catchment","T2S","Turf2Surf","Macronutrient Cycling Programme","MCP","Environmental survey","Soil core"],"keywordsInstrument":["liquid scintillation counter "],"keywordsOther":["Soil core"],"keywordsPlace":["North Wales","Conwy catchment"],"keywordsProject":["T2S","Turf2Surf","Macronutrient Cycling Programme","MCP"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Soil cores were collected from the field site and returned to laboratories of the School of Environment, Natural Resources and Geography, Bangor University. In the laboratory soil cores were divided into depth intervals of 0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres and passed through a 5 millimetre sieve in order to remove stones and any plant material and to ensure sample homogeneity. To measure the rate of 14C-substrate mineralization, 5 grams of soil (dry weight equivalent to account for soil water content variability down the soil profile) was placed into sterile 50 ml polypropylene tubes. To determine the rate of 14CO2 evolution, 50 microlitres (µl) of 14C-glucose labelled nutrient solution was added to the soil surface. Immediately after nutrient addition, a vial containing 1 millilitre (ml) Sodium Hydroxide (NaOH) trap (1 Molar (M)) was added into the polypropylene tubes to capture 14CO2 evolved. The tubes were hermetically sealed and incubated at 10 degrees Celsius to represent the mean annual temperature of the catchment. The NaOH traps were changed after 0.5, 1, 2, 4, 6, 24, 48, 72, 96, 120, 144, 168, 192, 336, 504, 672, 840 and 1008 hours and then weekly up to 6 weeks after initial 14C-labelling for the glucose-C additions. On removal, the NaOH traps were mixed with Optiphase HiSafe 3® liquid scintillation fluid (PerkinElmer Inc.) and the amount of 14CO2 captured was determined using a Wallac 1404 liquid scintillation counter (Wallac EG & G).\n\nData were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC","locations":["POLYGON((-3.784 53.201, -3.784 53.204, -3.781 53.204, -3.781 53.201, -3.784 53.201))"],"metadataDate":"2026-06-27T19:09:40.000Z","orcid":["https://orcid.org/0000-0002-8192-6678","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0001-7578-7918"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c29d2ce1-0295-439b-adf1-98ed59f73fae","10.5285/c29d2ce1-0295-439b-adf1-98ed59f73fae","doi:10.5285/c29d2ce1-0295-439b-adf1-98ed59f73fae"],"resourceType":"Dataset","ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a low glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200…","state":"published","supplementalDescription":["Project website"],"supplementalName":["Turf2Surf"],"title":"Time series of microbial carbon release from soil as carbon dioxide under different nitrogen and phosphorus treatments with a low glucose concentration added as a carbon source in the Conwy catchment, North Wales, UK (2016)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Redhead","Hulmes","Amy","Baron","Heard","Hyman","MacDonald","Peyton","Savage","Carvell"],"authorFullName":["Redhead, J.W.","Hulmes, S.","Hulmes, L.","Amy, S.","Baron, G.","Heard, M.S.","Hyman, R.","MacDonald, R.","Peyton, J.","Savage, J.","Carvell, C."],"authorGivenName":["J.W.","S.","L.","G.","M.S.","R.","J.","C."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Land use/land cover (LULC) map of a 20 km^2 agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. The map is based on remote sensed data (LiDAR and hyperspectral sensors) with manual updates and the addition of spring and summer floral cover data from comprehensive field surveys. The remote sensed data was generated in August 2007. The manual updates and summer floral data were from field visits in July and August 2011, and the spring floral data were from field visits in April 2011 and 2012. The map was created as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative.","documentType":"GEMINI_DOCUMENT","familyName":["Redhead","Hulmes","Amy","Baron","Heard","Hyman","MacDonald","Peyton","Savage","Carvell"],"fullName":["Redhead, J.","Redhead, J.W.","Hulmes, S.","Hulmes, L.","Amy, S.","Baron, G.","Heard, M.S.","Hyman, R.","MacDonald, R.","Peyton, J.","Savage, J.","Carvell, C."],"givenName":["John","J.W.","S.","L.","G.","M.S.","R.","J.","C."],"identifier":"0667cf06-f2c3-45c1-a80a-e48539b52427","incomingCitationCount":3,"keyword":["Buckinghamshire","Insect Pollinators Initiative","Pollinators","Land use","Flower cover"],"keywordsOther":["Flower cover"],"keywordsPlace":["Buckinghamshire"],"keywordsProject":["Insect Pollinators Initiative"],"keywordsTheme":["Pollinators","Land use"],"licence":"Open government licence","lineage":"Optech Airborne Laser Terrain Mapper (LiDAR) and AISA Eagle (hyperspectral) instrumentation were used to collect data on surface height and reflectance, respectively. These data were collected by the NERC Airborne Research and Survey Facility (ARSF). Processing was conducted by Earth Observation scientists at CEH, with subsequent error checking and validation against aerial photography and field survey data. Manual updates to the map were conducted in ArcGIS, based on field surveys and information received from landowners. Floral cover data was appended following field surveys of target plant groups by CEH botanists. Data were checked for errors at all stages by staff at the Centre for Ecology & Hydrology.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"metadataDate":"2026-06-27T18:50:06.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-08-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1407919180787","CEH:EIDC::1407919180787","https://catalogue.ceh.ac.uk/id/0667cf06-f2c3-45c1-a80a-e48539b52427","10.5285/0667cf06-f2c3-45c1-a80a-e48539b52427","doi:10.5285/0667cf06-f2c3-45c1-a80a-e48539b52427"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land use/land cover (LULC) map of a 20 km^2 agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. The map is based on remote sensed data (LiDAR and hyperspectral sensors) with manual updates and the addition of spring and summer floral cover data…","state":"published","title":"Map of land-use/land-cover and floral cover across an arable landscape in Buckinghamshire, UK","topic":["0/Pollinators/","0/Land use/"],"version":1.0,"view":["public","rjsc"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=recordType%7CDataset"}